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http://hdl.handle.net/10397/78805
Title: | Hierarchically optical double-image correlation using 3D phase retrieval algorithm in fractional Fourier transform domain | Authors: | Chen, W | Issue Date: | 15-Nov-2018 | Source: | Optics communications, 15 Nov. 2018, v. 427, p. 374-381 | Abstract: | In this paper, hierarchically optical double-image correlation is proposed by using 3D phase retrieval algorithm with a series of random function orders in fractional Fourier transform domain. At each hierarchical level, two grayscale input images are divided into particle-like points placed in 3D space, which are encoded into phase-only patterns using an iterative phase retrieval algorithm with a series of random function orders in fractional Fourier transform. The results illustrate that when the extracted phase-only patterns are compressed, optical double-grayscale-image correlation can be effectively conducted without the visualization of input information at each hierarchical level in 3D space. The proposed method provides a novel strategy for 3D optical security, and can effectively enhance the flexibility for the optically secured correlation in 3D space. | Keywords: | Optical correlation 3D phase retrieval algorithm Optical security |
Publisher: | Elsevier | Journal: | Optics communications | ISSN: | 0030-4018 | EISSN: | 1873-0310 | DOI: | 10.1016/j.optcom.2018.06.084 | Rights: | © 2018 Elsevier B.V. All rights reserved. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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18._OC- 3Dcorrelation-DoubleImage-V2-2018.pdf | Pre-Published version | 2.14 MB | Adobe PDF | View/Open |
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